摘要
The paper focuses on the method of formal concept analysis in data analyzing for software process improve-ment. It sets up that not only the Software Quality Guarantee Platform being developed should have the commonfunctions including enterprise process defining, process cutting out, executing and monitoring, and the normal dataanalysis tools such as OLAP, but also one should develop the novel data analysis tools based on formal methodologyby starting with maturity definition of process data, so as to discover valuable new knowledge from large database andsupport continuous software process improvement. Further more ,the paper demonstrates the software process dataanalysis using concept lattice in an example.
The paper focuses on the method of formal concept analysis in data analyzing for software process improvement. It sets up that not only the Software Quality Guarantee Platform being developed should have the common functions including enterprise process defining, process cutting out, executing and monitoring, and the normal data analysis tools such as OLAP, but also one should develop the novel data analysis tools based on formal methodology by starting with maturity definition of process data, so as to discover valuable new knowledge from large database and support continuous software process improvement. Further more,the paper demonstrates the software process data analysis using concept lattice in an example.
出处
《计算机科学》
CSCD
北大核心
2003年第7期103-105,共3页
Computer Science
基金
国家自然科学基金"分布式概念格数学模型及算法研究"资助
项目编号60275022
